ScanMalware.com

Security Scan Report: syschgapp-nyqu3irl1e.edgeone.app

Submitted: Apr 10, 2026, 9:12:27 AMCompleted: Apr 10, 2026, 9:13:45 AMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 11 HTTP transactions. The main domain is syschgapp-nyqu3irl1e.edgeone.app and was registered NaN years ago.

Submitted URL: https://syschgapp-nyqu3irl1e.edgeone.app/aneelb-land.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

No malicious activity detected; low risk but subdomain age is unknown.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Only external resources are Google Fonts (harmless)
Domain age information unavailable

Details

Page Title

Aneel — Megan Peters, PhD

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(41%)

Domain Information

Within the application-focused generic top-level domain (.app), 'syschgapp-nyqu3irl1e.edgeone.app' is registered and includes subdomain 'syschgapp-nyqu3irl1e'. The core label 'edgeone' covers 7 characters containing 4 vowels alongside three consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://syschgapp-nyqu3irl1e.edgeone.app/aneelb-land.html

Page Load Overview

0.57s
Total Load Time
11
HTTP Requests
3
Domains
261 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:5,049 chars
Detector Agreement:67%

Website Classification

Primary Category

government public service41% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
41%
documentation technical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5192.178.183.94United States
AS15169Google LLC
3142.251.13.95United States
AS15169Google LLC
343.152.26.58Singapore
AS139341ACE
113--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12722E977A3A57236941340A1311833EEEA00C966A68B4622F4EF4D5CD2C79B78777F8C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:6h/GvRNEc5MSKG7t3MM/c/R/EGff7PtX0jXLyB52dttJ:BMc5QGR3Mum7PImL2dttJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10400:a2AAiIJWDkig/Jc84QACw7nRFGkFohABoSMs5cgEEk3kYBJAjSJAhEAOCAMUxBoASAFCVGAtK97QABAFzSyQUOkROQIFB4Zw

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:1ee6e7c7c7c7e7c7
Perceptual Hash:b3dd9d1c381c1c8d
Difference Hash:b24e0e0c0c0c0c0c
Wavelet Hash:0ee6c6c3c7c3c3c2
Color Hash:#68862d

Other Hashes

Crop Resistant:b24e0e0c0c0c0c0c

Scan History

Scan history not available

Unable to load historical scan data